probably
v0.0.3

Tools for Post-Processing Class Probability Estimates

Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations.

Readme

probably

Introduction

probably contains tools to facilitate activities such as:

Conversion of probabilities to discrete class predictions.

Investigating and estimating optimal probability thresholds.

Inclusion of equivocal zones where the probabilities are too
uncertain to report a prediction.

Installation

You can install probably from CRAN with:

install.packages("probably")

You can install the development version of probably from GitHub with:

devtools::install_github("topepo/probably")

Examples

Good places to look for examples of using probably are the vignettes.

vignette("equivocal-zones", "probably") discusses the new
class_pred class that probably provides for working with equivocal
zones.

vignette("where-to-use", "probably") discusses how probably fits
in with the rest of the tidymodels ecosystem, and provides an
example of optimizing class probability thresholds.